Technical Lead (Remote) at Highbrow Technology Inc.

Highbrow Technology Inc. is a global technology solutions provider, currently assisting clients in the Generative AI (GenAI) space. Our expertise includes Prompt Engineering, LLM Training, and custom AI model training tailored to meet customer-specific data needs, all while ensuring compliance with PII,PCI and HIPAA regulations. We work across various industries to help clients safely integrate AI into their operations. Beyond GenAI, we have established Centers of Excellence (COE) in leading technologies like Workday, SAP, PEGA, Salesforce, ServiceNow, as well as Data Engineering, Cloud Solutions, Security, and Infrastructure.

We are recruiting to fill the position below:

Job Title: Technical Lead

Location: Remote
Job type: Full-time

About the Job

• LLM - EM (Engineering Manager) - Python + Machine Learning, Finetuning

Required Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).
• Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
• 9+ yrs of hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
• 2+ yrs of proven experience managing teams delivering ML/LLM models in production environments.
• Python OR Python for ML,| Machine Learning OR PyTorch OR Keras OR Tensorflow OR Scikit-Learn
• 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).
• Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
• 2+ yrs of proven experience managing teams delivering ML/LLM models in production environments.
• Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure).
• Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines.
• Excellent leadership, communication, and cross-functional collaboration skills.

Nice to Have:

• Experience training or fine-tuning foundation models.
• Contributions to open-source ML or LLM frameworks.

Application Closing Date
Not Specified.